Senior AI Security Engineer at Universal Technologies
New York, NY 10038, USA -
Full Time


Start Date

Immediate

Expiry Date

15 Jul, 25

Salary

0.0

Posted On

16 Apr, 25

Experience

4 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Information Security, Testing, Communication Skills, Test Scripts, Aws, Azure, Keras, Python, Nlp, Threat Modeling, System Testing, Data Validation, Numpy, Red Teaming, Statistics, Security Architecture Design, Computer Science, Deep Learning, Training, Data Quality

Industry

Information Technology/IT

Description

UNIVERSAL Technologies is seeking a Senior AI Security Engineer for a hybrid position in New York, NY supporting the MyCity Portal initiative. Candidates with an active LinkedIn profile are preferred.

WHO WE ARE:

UNIVERSAL Technologies, LLC is a Women-Owned (M/WBE) IT solutions and consulting company focused on delivering enterprise systems that significantly improve our clients’ IT performance. We work across the IT spectrum including Development, Business/Systems/Data Analysis, Project Management, Cyber Security, Network Engineering, and High-Level System Architecture.
The pride in the services we provide and the accessibility and flexibility we offer to employees are what make UNIVERSAL Technologies stand out from the rest. We aim to propel your IT career to the next level and excite our employees with new and challenging projects.

MANDATORY QUALIFICATIONS:

  • Bachelor’s degree in Computer Science, Engineering, Statistics, or related field, or equivalent work experience
  • 12+ years of hands-on experience in cybersecurity or information security
  • 4+ years of experience programming with Python and the standard ML stack (TensorFlow, PyTorch, NumPy, Pandas)
  • 4+ years working with NLP and Large Language Models (LLMs)
  • 4+ years working in cloud environments (Azure, AWS, GCP)
  • Demonstrated proficiency with AI/ML concepts, including deep learning and computer vision
  • Expertise in attacking GenAI platforms and identifying platform-specific vulnerabilities
  • Hands-on experience with AI testing frameworks and tools (TensorFlow, PyTorch, Keras)
  • Ability to write automated test scripts, analyze results, and document findings
  • Experience conducting security assurance, data validation, and AI system testing
  • Strong independent learning ability and adaptability to evolving technology
  • Excellent verbal and written communication skills, including ability to translate complex concepts

DESIRABLE QUALIFICATIONS:

  • Strong problem-solving and critical thinking skills in dynamic environments
  • Background in security architecture design, threat modeling, and mitigations
  • Past participation in CTFs, AI red teaming, bug bounty programs, or OSS AI security projects
  • Understanding of ML lifecycle, MLOps, and full AI model pipeline
  • Experience ensuring data quality during preprocessing, training, and testing phases
  • Ability to assess and mitigate AI bias, ethical risks, and promote inclusivity in development
  • Experience leading cross-functional AI/ML security teams, including LLM-based initiatives
  • Willingness to learn new technologies and stay up to date with trends in GenAI and cybersecurity
    UNIVERSAL Technologies is an Equal Opportunity Employer.
    Job Type: Full-time
    Pay: From $140.00 per hour
    Expected hours: 35 per week

Schedule:

  • Monday to Friday

Work Location: Hybrid remote in New York, NY 1003

Responsibilities
  • Design, implement, and execute security tests for GenAI systems like the MyCity Chatbot
  • Perform functional, regression, performance, and usability testing on AI/ML models
  • Create and maintain test plans and strategies for AI/LLM applications
  • Conduct and document security assessments, threat modeling, and AI security design reviews
  • Develop and implement security reference architectures and mitigation strategies
  • Provide full-stack architecture reviews for GenAI platforms in cloud and on-prem environments
  • Collaborate with data science teams on NLP, LLMs, and security vulnerabilities
  • Identify and document flaws, irregularities, or inconsistencies in AI systems
  • Evaluate and enhance the quality of data used in model training and testing
  • Ensure compliance with ethical standards, including bias mitigation and inclusivity in AI design
  • Work with developers and cybersecurity practitioners on vulnerability remediation
  • Contribute to cross-functional teams focused on secure AI/ML deployments
  • Conduct ongoing research into AI risks, develop mitigations, and lead red team engagements
  • Perform prompt injection testing, input/output security analysis, and AI assurance activities
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